Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 65, Issue 4, 2010, Pages 369-379

  Korpela, Ilkka ^a   Ørka, Hans Ole ^b   Hyyppä, Juha ^c   Heikkinen, Ville ^d   Tokola, Timo ^d  

^a UNIVERSITY OF HELSINKI   (Finland)

^b NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^c FINNISH GEODETIC INSTITUTE   (Finland)

^d UNIVERSITY OF EASTERN FINLAND   (Finland)

Author keywords

Classification; Forestry; Laser scanning; Radiometry; Vegetation

Indexed keywords

AUTOMATIC GAIN CONTROL; CLASSIFICATION ACCURACY; COEFFICIENT OF VARIATION; DISCRETE-RETURN LIDAR; FOREST CANOPIES; IN-LINE; INDIVIDUAL TREE CROWN; INTENSITY DATA; LASER SCANNING; OPTIMAL LEVEL; OPTIMAL SELECTION; OPTIMAL VALUES; REFERENCE RANGE; SCANNING GEOMETRY; SOUTHERN FINLAND; TREE SPECIES; VEGETATION CANOPY; VEGETATION CLASSIFICATION;

GAIN CONTROL; GRAPH THEORY; LASER APPLICATIONS; OPTICAL RADAR; OPTIMIZATION; RADIOMETERS; RADIOMETRY; SCANNING; SENSITIVITY ANALYSIS; SENSORS; TIMBER; VEGETATION;

FORESTRY;

ACCURACY ASSESSMENT; CONIFEROUS TREE; FOREST CANOPY; LASER METHOD; LIDAR; OPTIMIZATION; REFLECTIVITY; REMOTE SENSING; SENSOR; VEGETATION CLASSIFICATION;

CLASSIFICATION; FORESTRY; FORESTS; LASERS; OPTIMIZATION; PLANTS; RADAR; RADIOMETRY; SCANNING; SENSORS;

FINLAND;

EID: 77953962719     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2010.04.003     Document Type: Article

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